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https://github.com/explosion/spaCy.git
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71 lines
2.8 KiB
Python
71 lines
2.8 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import regex as re
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from ._tokenizer_exceptions_list import ID_BASE_EXCEPTIONS
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from ..tokenizer_exceptions import URL_PATTERN
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from ...symbols import ORTH
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_exc = {}
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for orth in ID_BASE_EXCEPTIONS:
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_exc[orth] = [{ORTH: orth}]
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orth_title = orth.title()
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_exc[orth_title] = [{ORTH: orth_title}]
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orth_caps = orth.upper()
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_exc[orth_caps] = [{ORTH: orth_caps}]
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orth_lower = orth.lower()
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_exc[orth_lower] = [{ORTH: orth_lower}]
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if '-' in orth:
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orth_title = '-'.join([part.title() for part in orth.split('-')])
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_exc[orth_title] = [{ORTH: orth_title}]
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orth_caps = '-'.join([part.upper() for part in orth.split('-')])
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_exc[orth_caps] = [{ORTH: orth_caps}]
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for orth in [
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"'d", "a.m.", "Adm.", "Bros.", "co.", "Co.", "Corp.", "D.C.", "Dr.", "e.g.",
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"E.g.", "E.G.", "Gen.", "Gov.", "i.e.", "I.e.", "I.E.", "Inc.", "Jr.",
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"Ltd.", "Md.", "Messrs.", "Mo.", "Mont.", "Mr.", "Mrs.", "Ms.", "p.m.",
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"Ph.D.", "Rep.", "Rev.", "Sen.", "St.", "vs.",
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"B.A.", "B.Ch.E.", "B.Sc.", "Dr.", "Dra.", "Drs.", "Hj.", "Ka.", "Kp.",
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"M.Ag.", "M.Hum.", "M.Kes,", "M.Kom.", "M.M.", "M.P.", "M.Pd.", "M.Sc.",
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"M.Si.", "M.Sn.", "M.T.", "M.Th.", "No.", "Pjs.", "Plt.", "R.A.", "S.Ag.",
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"S.E.", "S.H.", "S.Hut.", "S.K.M.", "S.Kedg.", "S.Kedh.", "S.Kom.",
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"S.Pd.", "S.Pol.", "S.Psi.", "S.S.", "S.Sos.", "S.T.", "S.Tekp.", "S.Th.",
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"a.l.", "a.n.", "a.s.", "b.d.", "d.a.", "d.l.", "d/h", "dkk.", "dll.",
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"dr.", "drh.", "ds.", "dsb.", "dst.", "faks.", "fax.", "hlm.", "i/o",
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"n.b.", "p.p." "pjs.", "s.d.", "tel.", "u.p.",
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]:
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_exc[orth] = [{ORTH: orth}]
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_hyphen_prefix = """abdur abdus abou aboul abror abshar abu abubakar abul
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aero agri agro ahmadi ahmed air abd abdel abdul ad adz afro al ala ali all
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amir an antar anti ar as ash asy at ath az bekas ber best bi co di double
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dual duo e eco eks el era ex full hi high i in inter intra ke kontra korona
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kuartal lintas m macro makro me mem meng micro mid mikro mini multi neo nge
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no non on pan pasca pe pem poli poly post pra pre pro re se self serba seri
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sub super t trans u ultra un x""".split()
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_hyphen_infix = """ber-an berke-an de-isasi di-kan di-kannya di-nya ke-an
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ke-annya me-kan me-kannya men-kan men-kannya meng-kannya pe-an pen-an
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per-an per-i se-an se-nya ter-i ter-kan ter-kannya""".split()
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_hyphen_suffix = """el"""
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_regular_exp = ['^{p}-[A-Za-z0-9]+$'.format(p=prefix) for prefix in _hyphen_prefix]
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_regular_exp += ['^{0}-[A-Za-z0-9]+-{1}$'.format(*infix.split('-')) for infix in _hyphen_infix]
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_regular_exp += ['^[A-Za-z0-9]+-{s}$'.format(s=suffix) for suffix in _hyphen_suffix]
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_regular_exp.append(URL_PATTERN)
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TOKENIZER_EXCEPTIONS = dict(_exc)
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TOKEN_MATCH = re.compile('|'.join('(?:{})'.format(m) for m in _regular_exp), re.IGNORECASE).match
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